
35:53
https://cwru.zoom.us/j/96766241326?pwd=Y0JLUzhLZG8vOUY1REtNaXRGT0hHZz09

36:03
https://colab.research.google.com/drive/18f0pvnrb7I7IAYu1soWRBi4RiwLbW5Iy?usp=sharing

40:06
That’s fabulous.

40:53
amazing, right! @TheHigherDead

43:42
@kjvbot

45:11
@emilymarkovson

01:01:22
On preparing text for data processing: see https://www.redhenlab.org/home/tutorials-and-educational-resources/multilingual-corpus-pipeline for a discussion, e.g., of Pragmatic Segmenter

01:01:58
https://github.com/diasks2/pragmatic_segmenter

01:02:58
https://www.nltk.org/book/ great initial learning for nltk and python

01:06:06
https://en.wikipedia.org/wiki/Regular_expression

01:06:34
https://regex101.com/

01:06:43
https://regexr.com/

01:24:08
Just reflecting out loud (no need to respond): Might this modify how we think about literary canon (comedy, tragedy, bible, artistic canon, etc.)? Might we think of canon as a probabilistic space (from a model’s/machine’s point of view)? Is probabilistic space more reflective of our (human) sense of canon than the traditional criteria we have used to date? More reflective of what “feels like” canon?

01:24:28
And when he had so said, there arose a mighty famine in that land.

01:31:39
Thank you! Got to run to an appointment.

01:44:18
the lyric writing process for the Radiohead album Kid A involved a crude process of random generation

01:44:58
that sounds fitting for Radiohead.

01:45:04
Surrealist Exquisite Corpse

01:46:22
can extend from language to gesture (dance, drawing) which is composed of units. so is it about a larger corpus (language, text) that can be broken down into subunits. with text it is easier to render machine readable than other forms of creative expression

01:46:27
Yes Raghav! Kid A is my fav album btw

01:46:40
Yes for sure Anne

01:51:51
Re: Radiohead -- a documentary called 'Meeting People is Easy' (free and on their website) follows them on their promo world tour in '97. It's heartbreaking and amazing

01:52:18
Bauhaus as a visual learning set https://magenta.as/using-machine-learning-to-make-art-84df7d3bb911

01:53:44
@Anne -- just read a little about exquisite corpses. not something I'm familiar with. thanks for sharing. also this Bauhaus article looks great.

01:53:58
Wow, thank you Anne!!!

01:54:39
That makes sense. And it’s much less daunting to think about doing this work in communities. Thank you.

01:56:08
Participants: your zoom link is good for the entire academic year. We meet only some Wednesdays. For the schedule, always see https://cognitivescience.case.edu/data-science-colloquium/

01:56:25
I must mention that I thought of Bauhaus the band before Bauhaus the art movement

01:56:47
me too!

01:57:03
Thank you for a terrific seminar. Greatly appreciated. Good to be with you.

01:57:20
Thank you! This was great!

01:57:36
Terrific session – thanks!

01:57:46
thanks to everyone involved in presenting, hosting, and participating!

01:57:46
Thanks- and for the generosity of sharing the bot....

01:57:48
Agreed - Thank you!

01:57:50
Thanks, this was super interesting!

01:57:57
lol

01:57:59
Thank you! Fascinating.

01:58:35
Thank you! Really enjoyed this!

01:59:20
Thank you!